Assessment 2 – Hypothesis Testing for Differences Between Groups Overview Perform hypothesis testing on the differences between two groups and create an Excel document. Write a 2–3-page analysis of the results in a Word document and insert the results into this document. Note: You are strongly encouraged to complete the assessments in this course in the order they are presented. Hypothesis testing is a foundational statistical technique used to make decisions about a hypothesis. A hypothesis test compares two mutually exclusive statements (null hypothesis, alternative hypothesis) where only one is true. Hypothesis testing can determine statistical significance by examining the probability that a given result would occur under the null hypothesis. For this assessment, you will perform hypothesis testing on the differences between two groups. By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria: Competency 1: Plan for data collection, measurement, and analysis.Generate a hypothesis about the difference between two groups in a dataset.Identify the appropriate statistical test in a dataset.Competency 2: Analyze data using computer-based programming and software.Performs appropriate statistical test of the difference between two groups in a dataset.Competency 3: Interpret results of data analysis for value-based health care decisions, policy, or practice.Interpret the results of a data analysis and state whether to accept or reject the null hypothesis based on the p-value and an alpha of .05.Write a narrative summary of the results that includes practical, administration-related implications of the hypothesis test.Competency 5: Communicate audience-appropriate health management content in a logically structured and concise manner, writing clearly with correct use of grammar, punctuation, spelling, and APA style.Write clearly and concisely, using correct grammar, mechanics, and APA formatting. Resources Statistical Significance Frey, B. B. (Ed.). (2018). Significance. In The SAGE encyclopedia of educational research, measurement, and evaluation (Vols. 1–4). Thousand Oaks, CA: Sage.Gallo, A. (2016, February 16). A refresher on statistical significance. Harvard Business Review Digital Articles, 2–9.Simpson, S. H. (2015). Creating a data analysis plan: What to consider when choosing statistics for a study. Canadian Journal of Hospital Pharmacy, 68(4), 311–317. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC45522... Hypothesis Testing Frey, B. B. (Ed.). (2018). Hypothesis testing. In The SAGE encyclopedia of educational research, measurement, and evaluation (Vols. 1–4). Thousand Oaks, CA: Sage.Hypothesis Tester.Real Statistics Using Excel. (n.d.). Null and alternative hypothesis. Retrieved from http://www.real-statistics.com/hypothesis-testing/...Elliott. E. C. (n.d.). Understanding statistical hypothesis testing. Retrieved from https://www.stattutorials.com/understanding-hypoth...Gonzalez-Chica, D. A., Bastos, J. L., Duquia, R. P., Bonamigo, R. R., & Martínez-Mesa, J. (2015). Test of association: Which one is the most appropriate for my study? Anais brasileiros de dermatología, 90(4), 523–528. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC45605...Quantitative Skills Center: Interpreting Statistical Data. p Value Frey, B. B. (Ed.). (2018). p value. In The SAGE encyclopedia of educational research, measurement, and evaluation (Vols. 1–4). Thousand Oaks, CA: Sage.Elliott, E. C. (n.d.). Interpreting statistical p-values. Retrieved from https://www.stattutorials.com/p-value-interpreting... Interpreting Results Evaluation of Analytic Results.Interpreting Results of Inferential Techniques.Matching Statistical Tests to Hypotheses. Significance Tests Orr-Depner, R. (n.d.). Learning about 2-sample t-tests with Guitar Hero | Transcript. Retrieved from https://www.sophia.org/tutorials/learning-about-2-...Scheer, A. (n.d.). The basics of significance tests | Transcript. Retrieved from https://www.sophia.org/tutorials/sec-91-the-basics...StatisticsLectures.com. (n.d.). Statistical vs practical significance. Retrieved from http://www.statisticslectures.com/topics/statistic...Tutorials for Statistical Data Analysis. (n.d.). Two sample (independent group) t-test using Mcrosoft Excel. Retrieved from https://www.stattutorials.com/EXCEL/EXCEL_TTEST1.h... Textbook Kros, J. F., & Rosenthal, D. A. (2016). Statistics for health care management and administration: Working with Excel (3rd. ed.). San Francisco, CA: Jossey-Bass. Available in the courseroom via the VitalSource Bookshelf link. Preparation Download the Assessment 2 Dataset [XLSX]. The dataset contains the following variables: clinic1 (total number of visits per month for clinic 1) .clinic2 (total number of visits per month for clinic 2). Instructions An investor needs to make a decision on whether to acquire one of two medical clinics based on their productivity, as measured by the total number of visits per month. You have been asked whether there is a significance difference in the total number of visits per month between clinic 1 and clinic 2. For this assessment, perform hypothesis testing on the differences between two groups in the Assessment 2 Dataset. Create an appropriately labeled Excel document with your results. Also write an analysis of the results in a Word document. Insert the test results into this document (copied from the output file and pasted into a Word document). Refer to Copy From Excel to Another Office Program for instructions. Submit both the Word document and the Excel file that shows the results. Grading Criteria The numbered assessment instructions outlined below correspond to the grading criteria in the Hypothesis Testing for Differences Between Groups Scoring Guide, so be sure to address each point. You may also want to review the performance-level descriptions for each criterion to see how your work will be assessed. Generate a hypothesis about the difference between two groups in a dataset.State null hypothesis and alternative hypothesis as an explanation and math equation.Identify the appropriate statistical test in a dataset.Provide your statistical rationale.Perform appropriate statistical test of the difference between two groups in a dataset.Interpret the results of a data analysis and state whether to accept or reject the null hypothesis based on the p-value and an alpha of .05.Interpret p-value and statistical significance.Write a narrative summary of the results that includes practical, administration-related implications of the hypothesis test. Additional Requirements Your assessment should meet the following requirements: Written communication: Write clearly, accurately, and professionally, incorporating sources appropriately.Length: 2–3 pagesResources: Not required.APA format: Cite your sources using current APA format.Font and font size: Times Roman, 10 point.

Hi! I already completed the python portion, but a summary paper is needed based on the data the python scripts spit out. Below is information on the summary needed. Attached is rubric, summary report template (Must be in APA) and python data.CompetencyIn this project, you will demonstrate your mastery of the following competency:Perform hypothesis testing to address an authentic problemScenarioYou are a data analyst for a basketball team. You have found a large set of historical data, and are working to analyze and find patterns in the data set. The coach of the team and your management have requested that you perform several hypothesis tests to find the statistical significance of the claims that are being made about your team. This analysis will provide evidence to validate critical claims and get statistically valid findings that will help make key decisions to make the team better in upcoming seasons. You will use the Python programming language to perform statistical analysis and will also need to present a report of your findings to the team’s management. Since the managers are not data analysts, you will need to interpret your findings and describe their practical implications. The managers will use your report to find areas where the team can improve its performance.Note: This data set has been “cleaned” for the purposes of this assignment.ReferenceFiveThirtyEight. (April 26, 2019). FiveThirtyEight NBA Elo dataset. Kaggle. Retrieved from https://www.kaggle.com/fivethirtyeight/fivethirtye...Summary Report: Once you have completed all the steps in your Python script, you will create a summary report to present your findings. Use the provided template to create your report. You must complete each of the following sections:Introduction: Set the context for your scenario and the analyses you will be performing.Hypothesis tests for the population mean: Discuss all steps of the hypothesis tests and interpret your results.Hypothesis test for the population proportion: Discuss all steps of the hypothesis test and interpret your results.Hypothesis test for the difference between two population means: Discuss all steps of the hypothesis test and interpret your results.Conclusion: Summarize your findings and explain their practical implications.

Project Description: The present study shows data for sales of different sports equipment in 2017 in a sports supplies store. The sales are provided per month. We will identify the type of data for different variables and their measurement levels. We will analyze the data numerically using measures of central tendency (mean, median, minimum and maximum) and variability (range, interquartile range, standard deviation and variance). We will construct a frequency table and investigate the relationship between variables by analyzing the correlation. We will also represent the data graphically by using line charts and pie charts. Instructions: For the purpose of grading the project you are required to perform the verey short 27 steps